AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 151

Question

An ecommerce company trains an ML model to forecast demand for near real-time inventory management based on historical customer activity. The company successfully deploys the trained model to a production Amazon SageMaker AI endpoint. However, the company notices that the model’s forecast performance degrades over time. The company needs a long-term and automated solution to mitigate the performance degradation. Which solution will meet these requirements?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Use Amazon SageMaker Clarify to monitor model and feature attribution bias to inform model re-training. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option meets the real-time / low-latency performance requirement.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 151